Amazon – Associate, ML Data Operations, GO-AI Operations

Job Description

Amazon is hiring for the role of Associate, ML Data Operations, GO-AI Operations in Hyderabad, offering an exciting opportunity for graduates interested in machine learning operations, data auditing, AI-assisted workflows, and fulfillment technology processes. This role is part of Amazon Robotics Fulfillment operations, where associates contribute to automation systems by supporting image and video auditing processes used in fulfillment centers. The position focuses on maintaining inventory accuracy and improving operational efficiency through detailed visual analysis and precise data validation. Candidates will work in a fast-paced operational environment where attention to detail, consistency, and accuracy are critical for supporting machine learning systems and automation technologies.

As an Associate in ML Data Operations, candidates will review and audit short videos or image-based tasks related to stowing activities in Amazon fulfillment centers. The role requires individuals to use human judgment, analytical thinking, and internal tools to identify product locations and verify operational activities with high precision. Associates will contribute to improving automated processes by ensuring data quality and helping reduce operational defects within Amazon’s logistics and robotics ecosystem. This opportunity provides valuable exposure to AI operations, data annotation workflows, machine learning support systems, robotics-enabled fulfillment processes, and operational quality management. Candidates interested in AI-enabled operations, data processing, and technology-driven logistics environments will find this role highly beneficial for long-term career development.

The role also emphasizes productivity, adaptability, and operational discipline in a 24/7 shift-based work environment. Associates are expected to manage high volumes of video and image audits while consistently meeting quality and productivity targets. The position requires strong concentration, visual attention, and the ability to work effectively in rotational shifts, including night schedules when required. Amazon offers a collaborative and inclusive work culture with opportunities for performance improvement, coaching, and career progression. This role is ideal for individuals seeking entry-level opportunities in machine learning operations, AI data processing, operational analytics, and technology-supported fulfillment systems within one of the world’s leading technology organizations.

Roles & Responsibilities

1. Review and audit image, video, and text-based operational tasks related to fulfillment center stowing activities with high accuracy and consistency.
2. Analyze short operational videos and identify product placement details using internal tools, human judgment, and established auditing procedures.
3. Verify and mark product locations accurately to support inventory management and maintain fulfillment center stow quality standards.
4. Perform several hundred video or image audits per shift while meeting predefined productivity, accuracy, and quality benchmarks.
5. Follow operational guidelines, audit processes, and acceptable work practices to ensure reliable and consistent data processing outcomes.
6. Use data auditing tools and internal systems effectively for capturing responses, validating activities, and supporting machine learning workflows.
7. Identify details from blurry or low-quality images and videos while maintaining strong focus and attention to screen-based tasks.
8. Collaborate with remote teams, supervisors, and operational stakeholders to maintain workflow efficiency and support process improvements.
9. Participate in coaching sessions, performance evaluations, and continuous improvement initiatives to enhance operational quality and productivity.
10. Adhere to work-from-home and workplace compliance standards, including maintaining a secure workspace and protecting work-related data confidentiality.
11. Support rotational shift operations, including night shifts, weekend schedules, and occasional office visits based on business requirements.
12. Maintain professionalism, accountability, and operational discipline while contributing to Amazon’s AI-supported fulfillment and robotics initiatives.

Requirements & Eligibility

1. Bachelor’s degree from a recognized university or institution in any discipline with strong analytical and observation capabilities.
2. Ability to perform image, video, and text-based auditing tasks accurately while maintaining productivity and quality standards.
3. Strong attention to detail with the ability to identify small differences, inconsistencies, or product placement details in operational videos.
4. Comfortable working on screen-intensive tasks for extended periods while maintaining concentration, accuracy, and efficiency.
5. Ability to work in rotational shifts, including night shifts, weekends, and flexible schedules in a 24/7 operational environment.
6. Good communication and collaboration skills with the ability to work effectively within remote teams and operational support environments.
7. Willingness to work in a non-technical operational role for the specified contract duration and adapt to business-driven workflow requirements.
8. Ability to meet incremental productivity targets and maintain consistent performance in fast-paced operational settings.
9. Basic computer knowledge and familiarity with digital tools, data entry systems, operational dashboards, or workflow management platforms.
10. Professional attitude, discipline, and willingness to follow workplace guidelines, virtual meeting protocols, and operational compliance requirements.
11. Capability to maintain a dedicated workspace with proper lighting, privacy, and secure handling of work-related information if working remotely.
12. Strong adaptability, focus, and willingness to participate in coaching, feedback sessions, and continuous process improvement activities.

Expected Salary

The expected salary for an Associate, ML Data Operations, GO-AI Operations role at Amazon in India generally ranges between ₹3 LPA to ₹5.5 LPA depending on educational background, analytical abilities, communication skills, and overall interview performance. Candidates with prior exposure to data operations, auditing processes, or AI-supported workflows may receive competitive compensation packages.

Apart from the fixed salary, employees may receive additional benefits such as shift allowances, night shift incentives, health insurance, paid leave, employee wellness programs, training support, and opportunities for long-term career growth within Amazon’s operations, AI, and technology ecosystem.

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